share your puntDNAL K11 results.

Sile · Nov 6, 2015

Regio X said:
This tool doesn't work for me. Which data did you use? FTDNA's or 23andMe's?

it says to use 23andme for best results, so that's what I used..............but I also said its the only one they got 100% correct

John Doe · Nov 6, 2015

Angela said:
I have a few Ashkenazi friends who have tested. They seem to have an additional 2% on Near Eastern and EEF, and about a couple of percent less on WHG/UHG.

Do you have any inter-marriage with non-Jews in your line showing up at 23andme?

Ooops! Only if you don't mind sharing that information, of course. Everybody's sense of privacy about these things is different.

I don't mind Angela. Yeah I have one Danish person with only one Jewish parent on COA, haven't really checked though. I also get 4% Scandinavian on FTDNA and 0.3% Scandinavian on 23andme. There's also family lore of some non Jewish Polish ancestry but I've yet to confirm it.

John Doe · Nov 6, 2015

Sile said:
below are my fathers numbers

opulation

[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.23%[/TD]

[TD="bgcolor: #ffffff"]Near_East[/TD]
[TD="bgcolor: #FFFFFF, align: right"]7.59%[/TD]

[TD="bgcolor: #ffffff"]Caucas-Gedrosia[/TD]
[TD="bgcolor: #FFFFFF, align: right"]17.83%[/TD]

[TD="bgcolor: #ffffff"]E_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.50%[/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.67%[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]-[/TD]

[TD="bgcolor: #ffffff"]ASI[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.96%[/TD]

[TD="bgcolor: #ffffff"]EEF[/TD]
[TD="bgcolor: #FFFFFF, align: right"]44.90%[/TD]

[TD="bgcolor: #ffffff"]WHG-UHG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]27.32%[/TD]

44.90% EEF Orange , the teal is 17% back

He has mtdna of T2B26

his eyes are below as its a 100% exact match via gedmatch ............first time for everthing

My numbers below

Population

[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"] Oceanian [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 0.42% [/TD]

[TD="bgcolor: #ffffff"] Near_East [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 6.32% [/TD]

[TD="bgcolor: #ffffff"] Caucas-Gedrosia [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 20.29% [/TD]

[TD="bgcolor: #ffffff"] E_Asian [/TD]
[TD="bgcolor: #ffffff, align: right"] - [/TD]

[TD="bgcolor: #ffffff"] Beringian [/TD]
[TD="bgcolor: #ffffff, align: right"] - [/TD]

[TD="bgcolor: #ffffff"] Sub-Saharan [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 0.06% [/TD]

[TD="bgcolor: #ffffff"] Amerindian [/TD]
[TD="bgcolor: #ffffff, align: right"] - [/TD]

[TD="bgcolor: #ffffff"] Siberian [/TD]
[TD="bgcolor: #ffffff, align: right"] - [/TD]

[TD="bgcolor: #ffffff"] ASI [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 0.84% [/TD]

[TD="bgcolor: #ffffff"] EEF [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 44.39% [/TD]

[TD="bgcolor: #ffffff"] WHG-UHG [/TD]
[TD="bgcolor: #FFFFFF, align: right"] 27.69% [/TD]

You seem to get an eye colour similar to mine, I have Green/grey eyes but Gedmatch shows me as Ice blue.

oreo_cookie · Nov 6, 2015

Mine (37.5% Sicilian, 12.5% Sardinian, 25% Polish, 18.75% Portuguese, 6.25%% Cape Verdean):

Near_East 9.07%
ANE 17.89%
E_Asian 0.17%
Sub-Saharan 1.24%
Amerindian 1.64%
EEF 44.22%
WHG-UHG 25.78%

Mother's (50% Polish, 37.5% Portuguese, 12.5% Cape Verdean):

Oceanian 0.30%
Near_East 2.51%
ANE 16.42%
Sub-Saharan 2.38%
Amerindian 1.45%
ASI 0.36%
EEF 40.29%
WHG-UHG 36.30%

Angela · Nov 6, 2015

John Doe said:
I don't mind Angela. Yeah I have one Danish person with only one Jewish parent on COA, haven't really checked though. I also get 4% Scandinavian on FTDNA and 0.3% Scandinavian on 23andme. There's also family lore of some non Jewish Polish ancestry but I've yet to confirm it.

Thanks for responding, John. As for the eye color, the predictor wasn't bad for me, in that at least it got that they are basically brown, or were basically a sort of golden brown. I have gotten a lot more green in them over the years, though, and the prediction doesn't show that. That's a whole other topic that I'm sure people will research as time goes on: the changes to pigmentation with hormonal changes, aging, etc.

It got the green in my husband's eyes though, but not enough of the gold flecks.

Sile · Nov 6, 2015

John Doe said:
You seem to get an eye colour similar to mine, I have Green/grey eyes but Gedmatch shows me as Ice blue.View attachment 7487

I get that colour for me as well, but I am mid-green eyes.........a bit darker than my father

Alan · Nov 6, 2015

John Doe said:
You seem to get an eye colour similar to mine, I have Green/grey eyes but Gedmatch shows me as Ice blue.View attachment 7487

While we are at it. Gedmatch says I should have ended up with green eyes, but I have brown. So Gedmatch can only predict your most likely eye color but there is still a chance that you end up with a different color. One thing though my pupils are slightly larger. This however they got correct. They also seem to predict slightly larger pupils for me.

I have dark ring on outer edge like those.
https://cdn.psychologytoday.com/sit...s/56810/2011/04/62560-52965.gif?itok=CDhR6iIJ
http://usercontent2.hubimg.com/12423005_f520.jpg

AC at: rs4778241 - High Melanin. Adds yellow, amber, or brown. Some darkening. Contributes Amber, Brown.
GG at: rs7174027 - Blocks some melanin. Often gives light colored eyes.
CT at: rs1129038 - Adds Yellow.
AA at: rs4778138 - Weak Amber Gradient
AG at: rs10467971 - Penetrance Modifier - Blue
GG at: rs12906280 - Gray ring around outer edge
GT at: rs1470608 - Medium melanin on Anterior Epithelium. Gives dark eyes.
CT at: rs1667394 - Medium melanin production on Anterior Epithelium. Adds yellow, amber, or brown. Some darkening.
CT at: rs916977 - Adds melanin. Adds yellow, amber, or brown.
CC at: rs16891982 - Increased melanin production on Anterior Epithelium. Adds yellow, amber, or brown. Some darkening.
CC at: rs12203592 - No pigmented Collarette.

citizen of the world · Jan 21, 2016

my result:

[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.98%[/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]53.75%[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.12%[/TD]

[TD="bgcolor: #ffffff"]Anatolian_NF[/TD]
[TD="bgcolor: #FFFFFF, align: right"]17.92%[/TD]

[TD="bgcolor: #ffffff"]Caucasus_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]4.58%[/TD]

[TD="bgcolor: #ffffff"]European_HG[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.28%[/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]3.69%[/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_East[/TD]
[TD="bgcolor: #FFFFFF, align: right"]18.67%[/TD]

Inal · Mar 19, 2016

Hello,

Where can I find the puntDNAL K11 calculator? On Gedmatch, I see K10 Ancient, K12 Ancient and Modern, K5 and K8 African only.

Inal · Mar 19, 2016

Elapsed Time: 1.52 seconds

[TD="bgcolor: #ffffff"]Population

[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]ASI[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]ENF[/TD]
[TD="bgcolor: #FFFFFF, align: right"]27.98[/TD]

[TD="bgcolor: #ffffff"]CHG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.39[/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]E_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]WHG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]48.71[/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.92[/TD]

[/TD]

My puntDNAL K10 Ancient results.

Inal · Mar 19, 2016

Elapsed Time: 2.22 seconds

[TD="bgcolor: #ffffff"]Population

[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.86[/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_East[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.20[/TD]

[TD="bgcolor: #ffffff"]European_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]41.41[/TD]

[TD="bgcolor: #ffffff"]Caucasus_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]19.53[/TD]

[TD="bgcolor: #ffffff"]South_African_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.24[/TD]

[TD="bgcolor: #ffffff"]Anatolian_NF[/TD]
[TD="bgcolor: #FFFFFF, align: right"]37.77[/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[/TD]

My puntDNAL K12 Modern results.

I have never scored South African Hunter Gatherer before. According to this calculator, it's 0.24. How should I interpret this?

Anglo-Celt · Aug 5, 2016

I have some Gedrosia K11 CHG-NAF results I could share if that would do..
WHG. 37.97%
Neolithic Anatolian Farmer 21.98%
Caucasus Hunter Gatherer 17.35%
Eastern Hunter Gatherer 14.01%
Kalash 3.58%
South Indian 3.45%
Papuan 1.29%
East African 0.35%

My primary populations in that Oracle are all English and suffice it to say that is no real surprise.

Twilight · Aug 5, 2016

Single Population Sharing:

[TD="align: center"] #

[TD="bgcolor: #ffffff"] If your DNA component in general is under 1% chance
are it's likely noise

[/TD]
[TD="bgcolor: #ffffff, align: right"][/TD]

[TD="bgcolor: #ffffff"][/TD]
[TD="bgcolor: #ffffff, align: right"] - [/TD]

Population (source)

Dutch_South

[TD="align: right"] Distance [/TD]

[TD="align: center"] 1 [/TD]

[TD="align: right"] 2.26 [/TD]

[TD="width: 40, align: center"] 2 [/TD]
[TD="width: 220"] Utahn_European [/TD]
[TD="width: 50, align: right"] 3.73 [/TD]

[TD="width: 40, align: center"] 3 [/TD]
[TD="width: 220"] English_South [/TD]
[TD="width: 50, align: right"] 3.97 [/TD]

[TD="width: 40, align: center"] 4 [/TD]
[TD="width: 220"] Hungarian [/TD]
[TD="width: 50, align: right"] 3.98 [/TD]

[TD="width: 40, align: center"] 5 [/TD]
[TD="width: 220"] German_South [/TD]
[TD="width: 50, align: right"] 4.42 [/TD]

[TD="width: 40, align: center"] 6 [/TD]
[TD="width: 220"] Irish [/TD]
[TD="width: 50, align: right"] 4.61 [/TD]

[TD="width: 40, align: center"] 7 [/TD]
[TD="width: 220"] Dutch_North [/TD]
[TD="width: 50, align: right"] 4.61 [/TD]

[TD="width: 40, align: center"] 8 [/TD]
[TD="width: 220"] Belgian [/TD]
[TD="width: 50, align: right"] 5.1 [/TD]

[TD="width: 40, align: center"] 9 [/TD]
[TD="width: 220"] German_North [/TD]
[TD="width: 50, align: right"] 5.35 [/TD]

[TD="width: 40, align: center"] 10 [/TD]
[TD="width: 220"] Czech [/TD]
[TD="width: 50, align: right"] 6.66 [/TD]

[TD="width: 40, align: center"] 11 [/TD]
[TD="width: 220"] Scottish_West [/TD]
[TD="width: 50, align: right"] 6.75 [/TD]

[TD="width: 40, align: center"] 12 [/TD]
[TD="width: 220"] Croatian [/TD]
[TD="width: 50, align: right"] 6.85 [/TD]

[TD="width: 40, align: center"] 13 [/TD]
[TD="width: 220"] Norwegian [/TD]
[TD="width: 50, align: right"] 7.36 [/TD]

[TD="width: 40, align: center"] 14 [/TD]
[TD="width: 220"] Romanian [/TD]
[TD="width: 50, align: right"] 7.85 [/TD]

[TD="width: 40, align: center"] 15 [/TD]
[TD="width: 220"] Swedish [/TD]
[TD="width: 50, align: right"] 9.11 [/TD]

[TD="width: 40, align: center"] 16 [/TD]
[TD="width: 220"] French [/TD]
[TD="width: 50, align: right"] 10 [/TD]

[TD="width: 40, align: center"] 17 [/TD]
[TD="width: 220"] Icelandic [/TD]
[TD="width: 50, align: right"] 10.74 [/TD]

[TD="width: 40, align: center"] 18 [/TD]
[TD="width: 220"] Bulgarian [/TD]
[TD="width: 50, align: right"] 13.45 [/TD]

[TD="width: 40, align: center"] 19 [/TD]
[TD="width: 220"] Belarusian [/TD]
[TD="width: 50, align: right"] 14.98 [/TD]

[TD="width: 40, align: center"] 20 [/TD]
[TD="width: 220"] Mordovian [/TD]
[TD="width: 50, align: right"] 15.99 [/TD]

Mixed Mode Population Sharing:


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[TD="align: center"] # [/TD]

[TD="colspan: 3"] Primary Population (source) [/TD]
[TD="colspan: 3"] Secondary Population (source) [/TD]
[TD="align: right"] Distance [/TD]

[TD="align: center"] 1 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 91.4% [/TD]
[TD="width: 200"] Irish [/TD]

[TD="width: 30, align: right"] 8.6% [/TD]
[TD="width: 200"] Georgian [/TD]

[TD="width: 50, align: right"] 1.59 [/TD]

[TD="width: 20, align: center"] 2 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 91.8% [/TD]
[TD="width: 200"] Irish [/TD]

[TD="width: 30, align: right"] 8.2% [/TD]
[TD="width: 200"] Abkhasian [/TD]

[TD="width: 50, align: right"] 1.74 [/TD]

[TD="width: 20, align: center"] 3 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 89.4% [/TD]
[TD="width: 200"] Irish [/TD]

[TD="width: 30, align: right"] 10.6% [/TD]
[TD="width: 200"] Balkar [/TD]

[TD="width: 50, align: right"] 1.85 [/TD]

[TD="width: 20, align: center"] 4 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 89.4% [/TD]
[TD="width: 200"] Irish [/TD]

[TD="width: 30, align: right"] 10.6% [/TD]
[TD="width: 200"] Adygei [/TD]

[TD="width: 50, align: right"] 1.87 [/TD]

[TD="width: 20, align: center"] 5 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 77.2% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 22.8% [/TD]
[TD="width: 200"] Dutch_North [/TD]

[TD="width: 50, align: right"] 1.89 [/TD]

[TD="width: 20, align: center"] 6 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 87.9% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 12.1% [/TD]
[TD="width: 200"] Swedish [/TD]

[TD="width: 50, align: right"] 1.9 [/TD]

[TD="width: 20, align: center"] 7 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 91.8% [/TD]
[TD="width: 200"] English_South [/TD]

[TD="width: 30, align: right"] 8.2% [/TD]
[TD="width: 200"] Lezgin [/TD]

[TD="width: 50, align: right"] 1.9 [/TD]

[TD="width: 20, align: center"] 8 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 93.2% [/TD]
[TD="width: 200"] English_South [/TD]

[TD="width: 30, align: right"] 6.8% [/TD]
[TD="width: 200"] Abkhasian [/TD]

[TD="width: 50, align: right"] 1.95 [/TD]

[TD="width: 20, align: center"] 9 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 91.1% [/TD]
[TD="width: 200"] English_South [/TD]

[TD="width: 30, align: right"] 8.9% [/TD]
[TD="width: 200"] Adygei [/TD]

[TD="width: 50, align: right"] 1.95 [/TD]

[TD="width: 20, align: center"] 10 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 90.3% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 9.7% [/TD]
[TD="width: 200"] Icelandic [/TD]

[TD="width: 50, align: right"] 1.96 [/TD]

[TD="width: 20, align: center"] 11 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 86.4% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 13.6% [/TD]
[TD="width: 200"] Norwegian [/TD]

[TD="width: 50, align: right"] 1.97 [/TD]

[TD="width: 20, align: center"] 12 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 82.1% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 17.9% [/TD]
[TD="width: 200"] German_North [/TD]

[TD="width: 50, align: right"] 1.99 [/TD]

[TD="width: 20, align: center"] 13 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 94.8% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 5.2% [/TD]
[TD="width: 200"] Finnish [/TD]

[TD="width: 50, align: right"] 1.99 [/TD]

[TD="width: 20, align: center"] 14 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 95% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 5% [/TD]
[TD="width: 200"] Estonian [/TD]

[TD="width: 50, align: right"] 2.01 [/TD]

[TD="width: 20, align: center"] 15 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 86.7% [/TD]
[TD="width: 200"] Norwegian [/TD]

[TD="width: 30, align: right"] 13.3% [/TD]
[TD="width: 200"] Georgian [/TD]

[TD="width: 50, align: right"] 2.02 [/TD]

[TD="width: 20, align: center"] 16 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 95.3% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 4.7% [/TD]
[TD="width: 200"] Lithuanian [/TD]

[TD="width: 50, align: right"] 2.02 [/TD]

[TD="width: 20, align: center"] 17 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 93.5% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 6.5% [/TD]
[TD="width: 200"] Belarusian [/TD]

[TD="width: 50, align: right"] 2.02 [/TD]

[TD="width: 20, align: center"] 18 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 80.6% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 19.4% [/TD]
[TD="width: 200"] Irish [/TD]

[TD="width: 50, align: right"] 2.03 [/TD]

[TD="width: 20, align: center"] 19 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 91.3% [/TD]
[TD="width: 200"] English_South [/TD]

[TD="width: 30, align: right"] 8.7% [/TD]
[TD="width: 200"] Balkar [/TD]

[TD="width: 50, align: right"] 2.05 [/TD]

[TD="width: 20, align: center"] 20 [/TD]
[TD="width: 15"][/TD]
[TD="width: 30, align: right"] 87.1% [/TD]
[TD="width: 200"] Dutch_South [/TD]

[TD="width: 30, align: right"] 12.9% [/TD]
[TD="width: 200"] Scottish_West [/TD]

[TD="width: 50, align: right"] 2.06
[/TD]

[/TD]

[TD="bgcolor: #ffffff"]Population[/TD]
[TD="bgcolor: #ffffff, align: right"] [/TD]

[TD="bgcolor: #ffffff"]Sub-Saharan[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.23[/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]South_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Near_East[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.64[/TD]

[TD="bgcolor: #ffffff"]European_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]41.93[/TD]

[TD="bgcolor: #ffffff"]Caucasus_HG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]22.66[/TD]

[TD="bgcolor: #ffffff"]South_African_HG[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Anatolian_NF[/TD]
[TD="bgcolor: #FFFFFF, align: right"]34.54[/TD]

[TD="bgcolor: #ffffff"]East_Asian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Oceanian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Beringian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

Sent from my iPad

Anglo-Celt · Aug 5, 2016

My PuntDNAL K12 Modern Oracle on the other hand is a little more interesting and maybe a lot more accurate.
# Single Population ( Source) Distance
1 Utahn_European 3.22
2 English_South 3.39
3 Irish 4.43
4 German_South 4.71
5 Belgian 4.8
6 Dutch_South 4.81
7 Hungarian 5.36
8 German_North 6.23
9 Dutch_North 6.41
10 Scottish_West 6.58
11 Czech 6.64
12 Romanian 6.66
13 Norwegian 7.08
14 French 8
15 Croatian 8.07
16 Swedish 9.13
17 Icelandic 10.75
18 Bulgarian 14.08
19 Spanish Northeast 14.96
20 Belarusian 15.81

Mixed- Mode Population Sharing
# Primary Population ( Source) Secondary Population( Source) Distance
1 95.6% English_South 4.4% Saharawi 2.21
2 95.1% English_South 4.9% Tunisian 2.24
3 94.9% English_South 5.1% Algerian 2.25
4 72.6% French 27.4% Russian 2.26
5 95.3% English_South 4.7% Mozabite Berber 2.28
6 70.5% Czech 29.5% Spanish Northeast 2.42
7 91.3% Irish 7.7% Libyan Jew 2.44
8 93.1% Irish 6.9% Tunisian 2.44
9 97.7% Utahn_European 2.3% Paniya 2.45
10 97.4% English_South 2.6% Paniya 2.45
11 96.9% English_South 3.1% Saudi 2.45
12 95.9% English_South 4.1% Yemenite Jew 2.46
13 93.3% Irish 6.7% Mozabite Berber 2.46
14 95.8% English_South 4.2% Yemeni 2.47
15 93.9% Irish 6.1% Saharawi 2.47
16 95.4% English_South 4.6% Egyptian 2.48
17 94.4% English_South 5.6% Libyan Jew 2.48
18 74.4% German_North 25.6% Spanish Southwest 2.48
19 85.1% Irish 14.9% Spanish Canaries 2.5
20 91.8% Irish 8.2% Tunisian Jew 2.5

xaeon · Jan 12, 2018

[TD="width: 105, bgcolor: #ffffff"]Here's mine!
-----Population---
[/TD]
[TD="bgcolor: #ffffff, align: right"]
[/TD]

[TD="bgcolor: #ffffff"]African[/TD]
[TD="bgcolor: #ffffff, align: right"]-
[/TD]

[TD="bgcolor: #ffffff"]Amerindian[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]ASI[/TD]
[TD="bgcolor: #FFFFFF, align: right"]0.27[/TD]

[TD="bgcolor: #ffffff"]Basal[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.15[/TD]

[TD="bgcolor: #ffffff"]Iran-Mesolithic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]2.14[/TD]

[TD="bgcolor: #ffffff"]Neolithic[/TD]
[TD="bgcolor: #FFFFFF, align: right"]34.66[/TD]

[TD="bgcolor: #ffffff"]Oceanic[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]EHG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]23.68[/TD]

[TD="bgcolor: #ffffff"]SEA[/TD]
[TD="bgcolor: #ffffff, align: right"]- [/TD]

[TD="bgcolor: #ffffff"]Siberian[/TD]
[TD="bgcolor: #FFFFFF, align: right"]1.95[/TD]

[TD="bgcolor: #ffffff"]WHG[/TD]
[TD="bgcolor: #FFFFFF, align: right"]35.14[/TD]

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